Senior AI-Native Full Stack Developer

Job Description: Senior AI-Native Full Stack Developer

Angular | Node.js | OpenAI | Claude | AI Coding Agents

Company: Wenodo
Department: Technology & Product Engineering
Experience: 4–8+ years (flexible for exceptional candidates)
Employment Type: Full-Time
Location: On Site

About the Role

Wenodo is looking for a highly skilled, forward-thinking Senior AI-Native Full Stack Developer who combines strong expertise in Angular and Node.js with hands-on experience in AI-powered software development and Large Language Model (LLM) integrations.

We are not looking for a traditional developer who occasionally uses ChatGPT to generate code.

We are looking for an engineer who has fundamentally adopted AI-first development workflows, uses modern AI coding agents to accelerate delivery, and knows how to build scalable, production-ready applications powered by leading AI models.

The ideal candidate should be equally comfortable developing sophisticated frontend applications, building robust backend services, orchestrating AI coding tools, and integrating OpenAI, Anthropic Claude, and other LLM APIs into enterprise products.

Our objective is to build better software, faster, without compromising code quality, security, maintainability, or scalability.

Requirements

Key Responsibilities

1. Full Stack Application Development

• Design, develop, and maintain modern enterprise-grade applications using Angular and Node.js.
  
• Build scalable, modular Angular applications using TypeScript, standalone components, routing, reactive forms, and modern state management.
  
• Develop secure, high-performance backend services and RESTful APIs using Node.js.
  
• Implement reusable components, shared libraries, authentication, authorization, and role-based access control.
  
• Work with relational databases, API integrations, and complex business workflows.
  
• Follow software engineering best practices, including clean architecture, automated testing, code reviews, and CI/CD.
  

2. AI-Native Software Engineering

This is a core requirement of the role.

• Demonstrate extensive practical experience using AI coding assistants and autonomous coding agents.
  
• Use tools such as Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or equivalent platforms to accelerate software development.
  
• Use AI agents for:
  
• Building complete features and application modules.
  
• Generating and refactoring frontend and backend code.
  
• Debugging complex issues.
  
• Writing unit tests and integration tests.
  
• Understanding and modernizing legacy applications.
  
• Creating technical documentation.
  
• Accelerating API development and third-party integrations.
  
• Design effective prompts, instructions, project context, and agent workflows to produce reliable, maintainable code.
  
• Review, validate, secure, and optimize AI-generated code before deploying it.
  
• Continuously evaluate new AI development tools and adopt those that improve engineering productivity.
  

We expect candidates to demonstrate how they use AI coding tools in their daily development process, not simply list them on their resumes.

3. LLM API Integration & AI Application Development

Hands-on experience with both OpenAI and Anthropic Claude APIs is mandatory.

• Build production-ready AI-powered features using:
  
• OpenAI APIs — Mandatory
  
• Anthropic Claude APIs — Mandatory
  
• Google Gemini APIs — Preferred
  
• Other leading LLM providers — Advantageous
  
• Implement LLM-powered application workflows using tool/function calling, structured outputs, streaming responses, and conversation management.
  
• Build AI assistants, conversational interfaces, intelligent automation workflows, and AI-enabled business applications.
  
• Integrate LLMs with internal databases, business APIs, and third-party applications.
  
• Develop retrieval-augmented generation (RAG) solutions where appropriate.
  
• Understand agent orchestration, multi-step workflows, and the Model Context Protocol (MCP).
  
• Implement appropriate prompt engineering, context management, token optimization, caching, and model selection strategies.
  
• Optimize LLM integration for latency, cost, accuracy, reliability, and scalability.
  
• Implement secure AI integrations, including API key management, access control, data protection, and protection against prompt injection.
  
• Evaluate AI responses and implement guardrails, structured validation, error handling, and monitoring.
  

4. Architecture, Quality & Performance

• Design maintainable, scalable frontend and backend architectures.
  
• Write clean, well-structured, production-quality TypeScript and JavaScript.
  
• Apply modern engineering principles while maintaining rapid delivery.
  
• Implement automated testing and reliable deployment pipelines.
  
• Optimize frontend performance, API response times, and backend resource consumption.
  
• Use AI tools to improve productivity while retaining ownership of the correctness and quality of delivered code.
  
• Collaborate with product managers, designers, and engineering teams to translate business requirements into functional applications.
  

Mandatory Technical Skills

Frontend Development

• Advanced Angular experience with modern Angular architecture.
  
• Strong TypeScript, JavaScript, HTML, CSS, and responsive UI development.
  
• RxJS, Angular routing, forms, HTTP interceptors, and state management.
  
• Experience designing modular, reusable frontend components.
  

Backend Development

• Strong Node.js experience.
  
• Experience with Express.js, NestJS, or equivalent frameworks.
  
• REST API development, authentication, security, and integration patterns.
  
• Experience with SQL databases and database optimization.
  
• Solid knowledge of asynchronous programming and API performance.
  

AI Coding Tools

• Demonstrable daily use of at least one advanced AI coding agent such as Claude Code, Cursor, or OpenAI Codex.
  
• Experience with AI-assisted feature development, debugging, refactoring, and automated testing.
  
• Ability to manage agent instructions, project context, and iterative development workflows.
  
• Ability to critically review and improve AI-generated code.
  

LLM Engineering

• Proven hands-on development using OpenAI APIs.
  
• Proven hands-on development using Anthropic Claude APIs.
  
• Function/tool calling and structured JSON outputs.
  
• Prompt engineering and conversation/context management.
  
• Streaming APIs, error handling, rate limits, and token usage optimization.
  
• Secure integration of AI models into backend applications.
  

Good to Have

• Google Gemini API integration.
  
• OpenAI Agents SDK, Anthropic Agent SDK, or similar agent frameworks.
  
• Model Context Protocol (MCP) servers and clients.
  
• Experience developing RAG pipelines and working with vector databases.
  
• WebSockets, Socket.IO, or real-time application development.
  
• Docker, cloud infrastructure, and CI/CD pipelines.
  
• Experience with AWS, Microsoft Azure, or Google Cloud.
  
• Experience integrating AI with enterprise SaaS, finance, HR, analytics, or workflow automation products.
  
• Experience modernizing legacy applications using AI coding tools.
  
• Familiarity with multi-agent systems, AI evaluations, and observability.
  

What Makes an Ideal Candidate?

We are particularly interested in developers who:

• Think AI-first: Naturally consider how AI agents can accelerate their engineering work.
  
• Are technically strong: Can independently architect, build, debug, and deploy software without relying blindly on AI-generated code.
  
• Build AI products: Have successfully integrated OpenAI and Claude into working applications.
  
• Deliver end-to-end: Can take a requirement from concept through frontend, backend, testing, and deployment.
  
• Optimize for efficiency: Understand how to reduce development time, LLM cost, and application latency.
  
• Take ownership: Are comfortable working independently, making technical decisions, and delivering measurable results.
  
• Continuously experiment: Actively evaluate emerging AI technologies and incorporate practical improvements into their workflows.
  

What We Are Not Looking For

• Developers whose AI experience is limited to copying code from ChatGPT.
  
• Candidates who have used OpenAI or Claude chat applications but have never integrated their APIs.
  
• Developers who depend entirely on AI-generated code without understanding its implementation.
  
• Candidates with strong frontend skills but little or no backend development experience.
  
• Developers who prioritize coding speed over application reliability, security, and maintainability.
  

Interview & Technical Assessment

Shortlisted candidates should be prepared to demonstrate:

1. Angular Expertise: Design and implement a modern Angular module following scalable architecture practices.
   
2. Node.js Expertise: Build a secure backend API with appropriate validation, error handling, and database integration.
   
3. AI Coding Productivity: Demonstrate using Claude Code, Cursor, or Codex to rapidly build, modify, and test an application.
   
4. OpenAI Integration: Develop an API-backed AI feature using OpenAI with structured output or tool calling.
   
5. Claude Integration: Demonstrate equivalent implementation knowledge using the Anthropic Claude API.
   
6. Engineering Judgment: Explain design decisions, identify AI-generated code defects, and demonstrate testing, security, and performance considerations.
   

Candidates should be able to explain production implementations they have personally delivered, including challenges faced and how they addressed them.

Benefits